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NumPy VS Thordata

Compare NumPy VS Thordata and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Thordata logo Thordata

Enterprise rotating residential proxies starting at $0.65/GB, covering 190+ countries. Use promo code thor020 for extra discounts, ideal for web scraping and cross-border multi-account management.
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  • NumPy Landing page
    Landing page //
    2023-05-13
  • Thordata
    Image date //
    2026-07-02
  • Thordata Landing page
    Landing page //
    2026-02-06

Thordata provides global enterprise proxy networks with over 60 million legitimate residential IPs across 190+ regions. Our rotating residential proxies start at only $0.65 per GB with no trial time limits. Enter promo code thor020 at checkout to get exclusive traffic discounts. Fully compatible with all anti-detect fingerprint browsers, scrapers and automation tools, we deliver stable, customizable IP session control for web data collection, cross-border e-commerce operation and global market research.

Thordata

$ Details
freemium $0.65 / Monthly (GB)
Release Date
2023 June
Startup details
Employees
50 - 99

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Thordata features and specs

  • Global IP Coverage
    Covers 190+ countries & regions with over 60M real residential IPs
  • Rotating Residential Proxy Pricing
    Starting price of $0.65 per GB, 500MB free trail; use promo code thor020 for extra discounts
  • Flexible Session Control
    Customizable IP session duration, stable rotating & static proxy modes for scraping & cross-border operations
  • Full Tool Compatibility
    Native support for all mainstream anti-detect browsers, scrapers and automation frameworks

Analysis of NumPy

Overall verdict

  • Yes, NumPy is considered good. It is a foundational library in the Python ecosystem for numerical computing and is used globally by researchers, engineers, and data scientists.

Why this product is good

  • NumPy is widely regarded as a good library because it offers fast, flexible, and efficient array handling that is integral to scientific computing in Python. It provides tools for integrating C/C++ and Fortran code, useful linear algebra, random number capabilities, and a vast collection of mathematical functions. Its array broadcasting capabilities and versatility make complex mathematical computations straightforward.

Recommended for

  • Scientists and researchers working with large-scale scientific computations.
  • Data scientists engaged in data analysis and manipulation.
  • Engineers and developers needing performance-optimized mathematical computations.
  • Educators and students in STEM fields.

Analysis of Thordata

Overall verdict

  • Thordata is a solid proxy and web data collection service offering a large IP pool and competitive pricing, making it a reliable choice for businesses needing scalable data gathering solutions.

Why this product is good

  • Large pool of residential and datacenter proxies with global coverage
  • Competitive and flexible pricing plans suitable for various budgets
  • High uptime and reliable connection speeds for data-intensive tasks
  • Supports web scraping, SEO monitoring, and data collection use cases
  • Offers responsive customer support and easy integration

Recommended for

  • Businesses conducting large-scale web scraping and data extraction
  • SEO agencies monitoring search rankings across regions
  • E-commerce companies tracking competitor pricing
  • Developers needing reliable proxy infrastructure for automation
  • Market researchers gathering geo-specific data

NumPy videos

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Thordata videos

Thordata Proxy Full Review/Get Free 3GB Of Residential/Best Residential & SOCKS 5 Proxy.

More videos:

  • Tutorial - How to Use Residential Proxies with Username and Password?#residentialproxy #freeproxy #Thordata
  • Review - Thordata Details : Best Proxy Site for SURVEY & CPA !

Category Popularity

0-100% (relative to NumPy and Thordata)
Data Science And Machine Learning
Proxy
0 0%
100% 100
Data Science Tools
100 100%
0% 0
Residential Proxies
0 0%
100% 100

Questions & Answers

As answered by people managing NumPy and Thordata.

What makes your product unique?

Thordata's answer:

Thordata stands out as an all-in-one, enterprise-grade unified web data infrastructure platform that combines a massive global proxy network, fully managed AI web scraping API, and ready-to-use dataset marketplace under one roof โ€” a combo rarely offered by competitors that only sell single proxy or scraping tools. We own and operate a self-sourced pool of 100M+ ethical residential, mobile, static ISP and datacenter IPs covering 190+ countries, with granular city/ASN targeting for hyper-local data collection. Our built-in auto CAPTCHA solver, JS rendering engine, and anti-block fingerprint management eliminate complex in-house engineering work for users. We prioritize full global compliance with GDPR, CCPA and local data privacy laws, plus async-first high-concurrency architecture supporting over 1000 requests per second. We also provide pre-built structured data pipelines for top platforms including Amazon, Google, LinkedIn, Zillow and Booking, alongside dedicated 24/7 enterprise technical support.

Why should a person choose your product over its competitors?

Thordata's answer:

  1. All-in-one integrated stack Unlike rivals that separate proxies, scrapers and datasets into disjointed paid services, Thordatadelivers every web data tool on a single unified dashboard and API suite, cutting integration and vendor management costs.
  2. Superior stable IP infrastructure: Our self-operated 100M+ global IP pool delivers far lower block rates and fewer downtimeincidents than third- party resold proxy networks from competitors, with unlimited bandwidth residential proxy plans for high-volume scraping tasks.
  3. Zero-maintenance scraping infrastructure: Our Al-powered Web Scraper APl automatically handles CAPTCHAs, browserfingerprint rotation, dynamic IS rendering and site anti-bot updates, so teams don't need to hire dedicated backendengineers to maintain scrapers.
  4. Strong compliance & ethical sourcing guarantee: Every IP and dataset is ethically sourced with full privacy compliancedocumentation, reducing enterprise legal risks that many smaller proxy/scraping vendors cannot support
  5. Flexible, transparent pricing & enterprise support: We offer pay-as-you-go, monthly subscription and custom enterpriseSLA packages, paired with round-the-clock technical engineers instead of generic customer support agents.
  6. Ready-made industry datasets: Our built in dataset marketplace provides pre-cleaned structured data for e-commerce, realestate, travel and ad intelligence competitors force users to build all datasets manually from scratch.

How would you describe the primary audience of your product?

Thordata's answer:

Thordata's core users fall into 6 key professional and business groups: 1. Al & Machine Learning Teams: Engineers and researchers building LLMs, training datasets, and Al agents that requiremassive volumes of clean, real-time public web data. 2. E-commerce & Market Intelligence Enterprises Brand analysts, pricing optimization teams, and marketplace sellers trackingcompetitor listings, product prices, customer reviews, and inventory data across global retail platforms (Amazon, Shopify,Alibaba etc.). 3. Digital Marketing & Ad Verification Agencies: Specialists running ad validation, SEO rank tracking, social media monitoring,and cross-region campaign performance analysis. 4. Real Estate & Travel Data Companies: Teams collecting property listings, hotel rates, flight fares, and regional locationintelligence for consumer-facing platforms. 5. Data Analytics & Fintech Startups: Financial analysts and risk teams scraping market news, public business records, andconsumer trend data for forecasting and compliance reporting. 6. Independent Developers & Web Scraping Freelancers: Individual engineers building custom data pipelines, small-scaleresearch bots, and lightweight market monitoring tools for personal or small-client projects Our enterprise customer base ranges from mid -sized SaaS startups to global listed corporations, while we also offer affordableplans for individual developers and small agencies.

What's the story behind your product?

Thordata's answer:

Thordata was founded by a team of senior network engineers and data compliance specialists who witnessed a critical industry pain point in 2018: businesses of all sizes were forced to piece together fragmented, unreliable tools for web data collection โ€” disjointed third-party proxies, buggy open-source scrapers, and costly manual data cleaning workflows โ€” with almost no vendors offering fully compliant, stable end-to-end data infrastructure. Our founding mission was simple: build a unified, ethical, enterprise-ready platform that removes all technical barriers to accessing public web data, without forcing teams to manage complex proxy servers or maintain scraper code. We launched our initial residential proxy network in 2019, then expanded to add ISP/mobile proxies, our AI Web Scraper API in 2022, and the structured Dataset Marketplace in 2024. Today, we have 430+ in-house specialists across network operations, AI engineering, data compliance and customer success, serving more than 4,000 enterprise clients across 190 countries. We remain focused on evolving our platform to match the rising data demands of the AI era, with constant upgrades to our anti-block fingerprint technology, global IP network coverage, and pre-built domain data pipelines.

Which are the primary technologies used for building your product?

Thordata's answer:

Backend core: Python (asyncio/aiohttp for high-concurrency scraping), Go for global proxy gateway routing, Rust for low-latency IP traffic management Cloud & infrastructure: Distributed Kubernetes clusters across multi-region AWS, GCP and bare-metal server nodes for global proxy endpoints AI & scraping engine: Custom ML CAPTCHA resolution models, headless Chrome/Playwright JS rendering stack, browser fingerprint rotation AI algorithms Data storage & processing: PostgreSQL for user management, ClickHouse for real-time traffic analytics, Parquet-based data lake for structured dataset storage API & SDK ecosystem: RESTful OpenAPI standard endpoints, official SDKs for Python, JavaScript, Java and Go with full async support Network security: Custom-built IP allocation & rotation microservices, end-to-end TLS encryption, compliance audit logging pipelines for GDPR/CCPA reporting Frontend dashboard: React + TypeScript with real-time WebSocket monitoring for proxy usage, scraping task tracking and dataset management

Who are some of the biggest customers of your product?

Thordata's answer:

Global cross-border e-commerce analytics firms Mid-sized AI LLM training startups International hotel & travel price comparison platforms US & EU real estate listing data providers Independent digital marketing & ad verification agencies Financial market trend research SaaS companies Global consumer brand competitive intelligence teams Web3 & market research data consultancies

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare NumPy and Thordata

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Thordata Reviews

We have no reviews of Thordata yet.
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Social recommendations and mentions

Based on our record, NumPy seems to be more popular. It has been mentiond 122 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

NumPy mentions (122)

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Thordata mentions (0)

We have not tracked any mentions of Thordata yet. Tracking of Thordata recommendations started around Feb 2025.

What are some alternatives?

When comparing NumPy and Thordata, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Bright Data - World's largest proxy service with a residential proxy network of 72M IPs worldwide and proxy management interface for zero coding.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

Oxylabs - A web intelligence collection platform and premium proxy provider, enabling companies of all sizes to utilize the power of big data.

OpenCV - OpenCV is the world's biggest computer vision library

Decodo - Decodo is perhaps the most user-friendly way to access local data anywhere. It has global coverage with 195 locations, offers more than 55M residential proxies worldwide and a great deal of scraping solutions.